Sr. AI Engineer
New
Based in the United StatesFull-TimeSenior
Salary165,000 - 180,000 USD per year
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Job Details
- Experience
- Minimum of 5 years of experience in data management, enterprise automation, infrastructure ownership, software engineering, or related technical disciplines.
- Required Skills
- Artificial IntelligenceMicrosoft AzureLLMGenerative AI
Requirements
- Minimum of 5 years of experience in data management, enterprise automation, infrastructure ownership, software engineering, or related technical disciplines.
- At least 3 years of hands-on experience in cloud operations, database architecture, schema design, graph and relational databases, or related enterprise systems.
- Strong expertise with the Microsoft Azure and Microsoft 365 technology ecosystem.
- Proven experience designing, deploying, and managing systems and applications in cloud-based environments.
- Demonstrated experience working with modern AI technologies, platforms, and tools, including large language models, generative AI solutions, copilots, and intelligent automation platforms.
- Strong understanding of AI architecture, data pipelines, systems integration, and enterprise-scale deployment practices.
- Knowledge of AI governance, regulatory considerations, responsible AI frameworks, privacy requirements, and risk mitigation strategies.
- Experience developing custom code, scripts, automation workflows, and technical solutions that support enterprise operations.
- Excellent communication, presentation, and stakeholder management skills with the ability to engage both technical and business audiences.
- Strong analytical thinking, problem-solving abilities, and a strategic mindset.
- Demonstrated leadership capabilities with experience guiding technical initiatives and influencing architectural decisions.
- Passion for continuous learning and staying current with evolving AI technologies, trends, and best practices.
Responsibilities
- Lead the architecture, development, deployment, and ongoing support of enterprise AI applications, platforms, and integrations.
- Design and implement scalable AI solutions, including data pipelines, cloud infrastructure, automation frameworks, and system integrations.
- Serve as a key technical expert and advisor for AI technologies, operations, governance, and enterprise adoption strategies.
- Ensure data readiness, platform scalability, and system reliability to support current and future AI initiatives.
- Develop and maintain AI governance frameworks that incorporate responsible AI principles, security requirements, privacy considerations, and risk management practices.
- Drive continuous improvement across enterprise application, data, infrastructure, and architecture domains.
- Establish and enhance security, compliance, availability, disaster recovery, and operational resilience capabilities.
- Partner with executive leadership and cross-functional stakeholders to define AI roadmaps, evaluate emerging technologies, and guide strategic decision-making.
- Lead complex technical initiatives from concept through implementation while providing escalation support and architectural guidance.
- Promote AI adoption across the organization by building strong stakeholder relationships and translating complex technical concepts into business value.
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